Latest Report | Participation Agreement | API | Validation | Encryption
The table provides a summary of all algorithms measured on attack presentation classification error rate (APCER) when bona fide classification error rate (BPCER) is set to 0.1 and 0.01, across a subset of the different morphing datasets used in our evaluation. APCER, or morph miss rate, is the proportion of morphs that are incorrectly classified as bona fides (nonmorphs). BPCER, or false detection rate, is the proportion of bona fides falsely classified as morphs.
The table provides a summary of algorithms submitted to FRVT 1:1, measured on mated morph presentation match rate (MMPMR), where MMPMR is the proportion of morph comparisons where both subjects (incorrectly) authenticate against the morph. The threshold is set such that the false match rate (FMR) = 0.0001 on regular (nonmorphed) comparisons. The false non-match rate (FNMR) at FMR = 0.0001 on regular (nonmorphed) comparisons is listed alongside the MMPMR. The lower the MMPMR, the better the algorithm performs against morphs.
Website
Global Morph
Local Morph
Local Morph Colorized Average
Local Morph Colorized Match
UNIBO Automatic Morphed Face Generation Tool v1.0
DST